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GoSharing: An intelligent incentive framework based on users' association for cooperative content sharing in mobile edge networks

机译:GOSHARING:基于用户在移动边缘网络中共享的合作内容共享关联的智能激励框架

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In most metropolises, commuters spend a considerable amount of time on public transport, and many of them entertain themselves with the content (like music or videos) on their mobile devices to alleviate boredom. Currently, the content, usually shared in co-located wireless networks to avoid huge monetary cost of using cellular data, is delivered from single host (resource owner) to single request user, which brings low transmission quality, due to the uncertainty of mobile edge networks in public transport environments.In this paper, we present an intelligent incentive framework called GoSharing which encourages multiple hosts to share content collaboratively to improve delivery quality, by taking advantage of users' association and consideration of network Quality of Service(QoS) requirements. The highlight of GoSharing is the novel Association-based Intelligent incentive mechanism that consists of three key components. First, a Fast Candidate Generation algorithm discovers users' association according to their stored content and QoS requirements and filters the candidate groups from large host groups. Second, a Host Selection algorithm finds a near-optimal solution among candidate groups within an approximate factor of F(d), where d denotes the maximum size of completed tasks when any candidate group is selected. Last but not least, a Payment Determination algorithm determines the payment of resource contributors while guaranteeing the truthfulness of their bids based on the procurement auction. Both theoretical analysis and extensive simulations demonstrate that GoSharing not only effectively motivates hosts' collaborative sharing, but also achieves the properties of truthfulness, individual rationality, high computational efficiency, low overpayment ratio, and high download ratio. (C) 2019 Elsevier B.V. All rights reserved.
机译:在大多数大都市中,通勤者在公共交通工具上花费相当多的时间,其中许多人在其移动设备上使用内容(如音乐或视频)来缓解无聊。目前,由于移动边缘的不确定性,从单个主机(资源所有者)向单个请求用户传递给避免使用蜂窝数据的巨额货币成本,通常在共同定位的无线网络中共享以避免巨额货币成本。公共交通环境中的网络。在本文中,我们介绍了一个智能激励框架,称为Gosharing,鼓励多个主机通过利用用户的关联和对网络质量(QoS)要求来分享成本,以提高交付质量。 GOSHARING的亮点是基于新的基于协会的智能激励机制,包括三个关键组件。首先,快速候选生成算法根据其存储的内容和QoS要求发现用户关联,并从大型主机组中过滤候选组。其次,主机选择算法在F(d)的近似因子中找到候选组之间的近最优解,其中d表示选择任何候选组时完成任务的最大大小。最后但并非最不重要的是,支付确定算法确定资源贡献者的支付,同时根据采购拍卖保证其出价的真实性。理论分析和广泛的模拟都表明GOSHARING不仅有效地激励宿主的协作共享,而且还实现了真实性,个性合理性,高计算效率,低过支率和高下载比率的性质。 (c)2019 Elsevier B.v.保留所有权利。

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